Data Engineer Sr
Core
Design, build, and optimize modern data platforms enabling analytics, reporting, operational intelligence, and AI-driven solutions.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, ETL/ELT solutions, and cloud-based data platforms (warehouses, lakehouses)
Domain
Cloud Data Engineering & Analytics
Required skills
Advanced SQL, Python/Scala/Java, Distributed processing (Spark), Cloud data platforms (Fabric/Databricks/Snowflake), ETL/ELT design, Data modeling, CI/CD, Data governance
Preferred skills
Microsoft Fabric production experience, Databricks lakehouse architecture, dbt, Legacy data modernization, Azure Data Services, ML/AI support
Technologies
Microsoft Fabric, Databricks, Snowflake, BigQuery, Redshift, Spark, Azure Data Services, dbt
Responsibilities
Design and maintain scalable data pipelines; Build ETL/ELT solutions across cloud platforms; Develop data integration frameworks; Implement dimensional models and transformation logic; Optimize data platforms for performance and cost; Troubleshoot complex technical issues; Contribute to architecture reviews
Seniority
Senior, hands-on IC